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ICPR
2010
IEEE
13 years 8 months ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...
MOBISYS
2008
ACM
14 years 4 months ago
Behavioral detection of malware on mobile handsets
A novel behavioral detection framework is proposed to detect mobile worms, viruses and Trojans, instead of the signature-based solutions currently available for use in mobile devi...
Abhijit Bose, Xin Hu, Kang G. Shin, Taejoon Park
RAID
2009
Springer
13 years 11 months ago
VirusMeter: Preventing Your Cellphone from Spies
Due to the rapid advancement of mobile communication technology, mobile devices nowadays can support a variety of data services that are not traditionally available. With the growi...
Lei Liu, Guanhua Yan, Xinwen Zhang, Songqing Chen
INFOCOM
2009
IEEE
13 years 12 months ago
Defending Mobile Phones from Proximity Malware
—As mobile phones increasingly become the target of propagating malware, their use of direct pair-wise communication mechanisms, such as Bluetooth and WiFi, pose considerable cha...
Gjergji Zyba, Geoffrey M. Voelker, Michael Liljens...
MOBISYS
2008
ACM
14 years 4 months ago
Detecting energy-greedy anomalies and mobile malware variants
Mobile users of computation and communication services have been rapidly adopting battery-powered mobile handhelds, such as PocketPCs and SmartPhones, for their work. However, the...
Hahnsang Kim, Joshua Smith, Kang G. Shin